Year after year, Long-Range (LoRa) is globally becoming recognized as a low-power wide-area network technology that enables cheap and easy-to-setup deployments of Internet of things (IoT) networks. Being its stack open, lots of researchers have been deeply investigating LoRa performance and proposing interesting ways of enhancing its capabilities, yet with little impact on the standard. In this paper, we present a novel platform for the monitoring and management of LoRa-based IoT networks called LoMM, whose aim is that of bridging the gap between the research domain and the real deployments domain. The modular architecture of LoMM allows the rapid prototyping of solutions at the edge, spanning from algorithms and policies for efficient network management, to custom functionalities for novel applications. Some preliminary demonstration results as well as several examples of envisioned LoMM use cases are provided to prove its capabilities and versatility.

LoMM: A Monitoring and Management Platform for LoRaWAN Experimentation

Riggio, Roberto
2020

Abstract

Year after year, Long-Range (LoRa) is globally becoming recognized as a low-power wide-area network technology that enables cheap and easy-to-setup deployments of Internet of things (IoT) networks. Being its stack open, lots of researchers have been deeply investigating LoRa performance and proposing interesting ways of enhancing its capabilities, yet with little impact on the standard. In this paper, we present a novel platform for the monitoring and management of LoRa-based IoT networks called LoMM, whose aim is that of bridging the gap between the research domain and the real deployments domain. The modular architecture of LoMM allows the rapid prototyping of solutions at the edge, spanning from algorithms and policies for efficient network management, to custom functionalities for novel applications. Some preliminary demonstration results as well as several examples of envisioned LoMM use cases are provided to prove its capabilities and versatility.
978-1-7281-7440-2
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/291298
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